"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 16:14:43.305606
"""

```python
class ReasoningEngine:
    """
    A basic reasoning engine that addresses limited reasoning sophistication.
    Solves problems by applying a set of predefined rules to input data.

    Parameters:
        rule_set (list): A list of functions representing the logical rules.
        context_data (dict, optional): Additional contextual data for rules. Default is an empty dictionary.

    Methods:
        __init__: Initializes the ReasoningEngine with given rule set and context data.
        apply_rules: Applies each rule from the rule set to the input data.
    """

    def __init__(self, rule_set: list, context_data: dict = {}):
        self.rule_set = rule_set
        self.context_data = context_data

    def apply_rules(self, input_data: dict) -> dict:
        """
        Applies each rule from the rule set to the input data.

        Parameters:
            input_data (dict): The input data to which rules will be applied.

        Returns:
            dict: A dictionary containing the results of applying each rule.
        """
        result = {}
        for rule in self.rule_set:
            # Apply context data to the rule if needed
            local_context = {**self.context_data}
            try:
                # Apply the rule and store the result
                result[rule.__name__] = rule(input_data, **local_context)
            except Exception as e:
                print(f"Error applying rule '{rule.__name__}': {str(e)}")
        return result


# Example usage

def check_age(age: int) -> bool:
    """Rule to check if age is above 18."""
    return age > 18

def check_income(income: float, context: dict) -> bool:
    """Rule to check if income is higher than the threshold set in context data."""
    return income > context.get('income_threshold', 5000)

# Define rules and create a ReasoningEngine instance
rules = [check_age, check_income]
context_data = {'income_threshold': 5000}

engine = ReasoningEngine(rule_set=rules, context_data=context_data)

# Example input data
input_data = {'age': 24, 'income': 6000}

# Apply rules to input data
results = engine.apply_rules(input_data)
print(results)  # Output: {'check_age': True, 'check_income': True}
```